| 葛折贵,葛折圣.基于遗传算法和神经网络理论的机场航空业务量的预测模型[J].现代交通技术,2005,(4):65-67 |
| 基于遗传算法和神经网络理论的机场航空业务量的预测模型 |
| A Prediction Model of Airport Aviation Portfolio Based on Genetic Arithmetic and Artificial Neural Network Theory |
| |
| DOI： |
| 中文关键词: 机场 航空业务量 遗传算法 人工神经网络 预测模型 |
| 英文关键词:airdrome aviation portfolio, genetic arithmetic artificial neural network |
| 基金项目: |
| 葛折贵 葛折圣 |
| [1]安徽省高等级公路工程监理有限公司,安徽合肥230001 [2]广州市市政园林局,广东广州510001 |
| 摘要点击次数: 5057 |
| 全文下载次数: 482 |
| 中文摘要: |
| 航空业务量预测是机场规划的基础。常用的预测方法无法同时考虑较多的影响因素，预测结果的精度较低，缺乏客观性。本文运用遗传算法和神经网络理论，综合考虑GDP增长率、人口增长率、进出口总量等因素对航空运输市场的影响，得出一种较为完善的航空业务量的预测模型。 |
| 英文摘要: |
| Airport scheme is based on the prediction of aviation portfolio. There are many kinds of methods to forecast that. Because many factors cannot be taken into account, the precision is bad. Ti is important to improve these methods. A prediction mode based on the theory of genetic arithmetic and artificial neural network can take the effect of GDP, population, imports and exports into account. According to the theoretical analysis and practical verify, the approach is feasible completely, at the same time, its precision is better than the others. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
